Huidige banen gerelateerd aan Graduation Project: Time-dependent Many-to-Many Shortest Path Planning - Zoetermeer, Zuid-Holland - ORTEC
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Graduation Project: Time-dependent Many-to-Many Shortest Path Planning
2 maanden geleden
Job Opportunity
We are seeking a talented master student in computer science or a related field to join our team at ORTEC. As a key member of our research team, you will investigate how to improve our algorithms for computing time-dependent shortest paths on a static graph, such as a road network.
The Challenge
Our goal is to develop efficient algorithms that can handle traffic congestion in shortest path computations. This involves computing time-dependent shortest paths for various combinations of origin and destination, while keeping computation times low. We are looking for a candidate with strong engineering skills, including experience with programming in compiled languages and implementing dynamic programming algorithms.
Requirements
- You are a master student in computer science or a related field.
- You have strong engineering skills, including experience with programming in compiled languages.
- You have practical experience implementing dynamic programming algorithms or running computations on GPU.
- You are fluent in English and are available for 6 months for 32-40 hours a week.
What We Offer
- Entrance to a passionate and innovative company that uses problem-solving skills to improve our planet.
- Excellent supervision during your graduation project, good internship allowance, laptop, and other office facilities.
- An open, kind, and fun culture, with opportunities to attend courses and seminars.
How to Apply
Upload your CV, motivation letter, and grade lists (BSc and MSc in one PDF if applicable). The recruitment process will consist of two online assessments, a first interview, and a second interview with a case.
